Slip regulation for anti-lock braking systems using multiple surface sliding controller combined with inertial delay control

Verma, Rahul Kumar; Ginoya, Divyesh; Shendge, P. D.; Phadke, S. B.

doi:10.1080/00423114.2015.1026831

Cited by 42 publications

(14 citation statements)

References 35 publications

(46 reference statements)

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“…Quasi-sliding mode Control along with the orthogonal endocrine Neural Network estimator for ABS control has been detailed in [19]. Using a multiple surface sliding controller for ABS has been dug out in [20]. In [21], a robust predictive control for ABS based on Radial Basis Function Neural Network has been proposed.…”

Section: Introductionmentioning

confidence: 99%

Adaptive optimal slip ratio estimator for effective braking on a non-uniform condition road

Seyedtabaii

Velayati

2019

Automatika

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In this paper, an adaptive algorithm is developed which senses the road condition change and estimates a (time-varying) optimal braking slip ratio. This is conducted by two on-line simultaneously operating tire-road friction-curve slope calculators: one based on the accelerometer output and the other based on the wheel speed. The required vehicle speed is estimated using a robust sliding-mode observer. Enforcement of the online optimal braking reference is left to an adaptive sliding mode controller to cope with the system strong nonlinearity, time dependency and the speed and friction-coefficient estimation errors. The algorithm is applied to a half model car and the braking performance is examined. The results indicate that the proposed algorithm substantially reduces the stopping time and distance. The performance of the algorithm is verified using different vehicle initial speeds and especially non-uniform road condition where 8% improvement versus the nonadaptive optimal slip ratio algorithm is recorded. ARTICLE HISTORY

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Section: Introductionmentioning

confidence: 99%

Adaptive optimal slip ratio estimator for effective braking on a non-uniform condition road

Seyedtabaii

Velayati

2019

Automatika

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“…Several previous research works have focused on improving the robustness of vehicle hydraulic ABS systems through the use of a SM controller. [15][16][17][18][19] Considering the inertial delay of the actuator, a multiple surface sliding controller was designed for the ABS in Verma et al 15 to maintain the slip ratio at a desired level. In Lv et al, 16 the SM controller was promoted by using a high-precision hydraulic pressure feedback modulation to improve the control precision and response.…”

Section: Introductionmentioning

confidence: 99%

Hydraulic anti-lock braking control strategy of a vehicle based on a modified optimal sliding mode control method

Wang

Ren

2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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The objective of this paper is to propose a modified optimal sliding mode control method for the hydraulic anti-lock braking system of a vehicle to achieve both robustness and optimal control performance. The longitudinal dynamic model of a vehicle, tyre model and hydraulic anti-lock braking system model are established, and the weakness of the common optimal sliding mode control method in designing the anti-lock braking system controller is analysed synthetically. The analyses form the basis for tracking an ideal slip ratio. A new modified optimal sliding mode controller is proposed to regulate the hydraulic anti-lock braking system for a better braking performance and robustness: the optimal sliding mode manifold function includes several virtual damping elements and infinitely small-sized items to meet the working conditions of the current optimal sliding mode control method. The control results of the proposed controller are compared with those of the common sliding mode controller. Simulation results under various road conditions demonstrate that the modified optimal sliding mode controller not only has strong robustness against uncertainties in the road adhesion coefficient but also achieves better control performance of the slip ratio.

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“…However, these developments bring convenience as well as security risks. To solve this problem, a variety of active electronic control systems are used to improve the handling performance, comfort, and active safety of vehicles in complex driving conditions, such as an Antilock Brake System (ABS), which is designed to control the braking force so that the wheel is not locked in the edge of the optimal slip ratio to ensure the maximum braking force and lateral stability force of the vehicle [1][2][3]. Four Wheel Steering (4WS) is used to improve the handling stability performance of the vehicle using the two rear wheels as the steering wheel, in addition to the traditional front wheel [4,5].…”

Section: Introductionmentioning

confidence: 99%

Advanced Emergency Braking Control Based on a Nonlinear Model Predictive Algorithm for Intelligent Vehicles

Zhang

et al. 2017

Applied Sciences

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Focusing on safety, comfort and with an overall aim of the comprehensive improvement of a vision-based intelligent vehicle, a novel Advanced Emergency Braking System (AEBS) is proposed based on Nonlinear Model Predictive Algorithm. Considering the nonlinearities of vehicle dynamics, a vision-based longitudinal vehicle dynamics model is established. On account of the nonlinear coupling characteristics of the driver, surroundings, and vehicle itself, a hierarchical control structure is proposed to decouple and coordinate the system. To avoid or reduce the collision risk between the intelligent vehicle and collision objects, a coordinated cost function of tracking safety, comfort, and fuel economy is formulated. Based on the terminal constraints of stable tracking, a multi-objective optimization controller is proposed using the theory of non-linear model predictive control. To quickly and precisely track control target in a finite time, an electronic brake controller for AEBS is designed based on the Nonsingular Fast Terminal Sliding Mode (NFTSM) control theory. To validate the performance and advantages of the proposed algorithm, simulations are implemented. According to the simulation results, the proposed algorithm has better integrated performance in reducing the collision risk and improving the driving comfort and fuel economy of the smart car compared with the existing single AEBS.

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Slip regulation for anti-lock braking systems using multiple surface sliding controller combined with inertial delay control

Cited by 42 publications

References 35 publications

Adaptive optimal slip ratio estimator for effective braking on a non-uniform condition road

Adaptive optimal slip ratio estimator for effective braking on a non-uniform condition road

Hydraulic anti-lock braking control strategy of a vehicle based on a modified optimal sliding mode control method

Advanced Emergency Braking Control Based on a Nonlinear Model Predictive Algorithm for Intelligent Vehicles

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